Rewrite – Treating Depression Lab Part 2 (discussion 2) – Mod 8 Group 2

Question Description

I will send you the graph & table for question 1 a and b that I made and pictures of teacher work after you accept the bit.

Prompt

We will analyze the data to answer the second research question: Which of the drugs (if either) delayed the recurrence of depression longer relative to the placebo?

In the previous lab-preparation activity, we identified Treat as the explanatory variable and Time as the response variable. We also determined that we will analyze the data using side-by-side boxplots and descriptive statistics (i.e. 5-number summaries since the graphs are boxplots).

Make graphs and tables.
1. Use StatCrunch to produce side-by-side boxplots. (directions)
  Embed your graphs with your initial post.
2. Use StatCrunch to produce the descriptive statistics (a table containing the 5-number summaries for each comparison group). (directions)
  Copy and paste the StatCrunch output table into your initial post.
Analyze the data: Compare the distributions for the treatment groups as demonstrated in Unit 2. For example, compare medians and intervals of typical values. Describe the shape and any outliers. Be sure to write your comparisons so the reader can understand the context of the numbers. For example, don’t just say the median is 30; instead, say something like this: on average patients taking the placebo relapsed in 30 days (Q2=30 days).
Draw a conclusion: What can we conclude from your analysis? Did one drug successfully delay a relapse of depression better than the others? What evidence supports your conclusion?
Summarize your conclusions in response to both research questions: In this lab you compared three treatments (two drugs and the placebo) using two different variables. In Part 1 you compared whether or not a relapse into depression occurred for each of the two drugs and the placebo. In Part 2 you compared the length of time until the next relapse for the two drugs and the placebo. What can you conclude in light of both analyses? Is one treatment better than the other? How does the data support your conclusion?

This is the side by side that I have made in question

Summary statistics for AcuteT:

Group by: Treat

Treat	n	Mean	Variance	Std. dev.	Std. err.	Median	Range	Min	Max	Q1	Q3
0	37	172.62162	6446.7973	80.29195	13.199915	173	393	48	441	114	211
1	38	183.65789	6782.1771	82.353974	13.359579	166.5	381	47	428	131	212
2	34	202.11765	10590.168	102.90854	17.648669	163.5	442	70	512	140	246

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